- userProfileLearner.ts: filter query to only clean messages (eq ai_status='clean')
to prevent profile contamination from flagged content. Also select channel_id
to group messages by channel in prompt, enabling channel-aware personality
summarization (user may behave differently across channels).
- llmModerationClient.ts (runSimpleTextFallback): inject user profile into
both the classify prompt and the reason prompt, so even the last-resort
fallback path has personality/memory context instead of being blind.
Add user_profiles table, store, and background learner worker
that summarizes user communication style, topics, and personality.
- New user_profiles table (user_id PK, guild_id, profile_summary, last_analyzed_at)
- userProfileStore.ts — CRUD (get/update) following channelCultureStore pattern
- userProfileLearner.ts — background worker: queries 100 recent msgs per user,
calls LLM for personality summary, updates every 12h
- Inject <user_profile> XML tag per-message in moderation prompt
- Start worker alongside cultureLearner in aiAnalyzer.ts
- Migration 0008 for user_profiles table
Co-Authored-By: Claude <noreply@anthropic.com>
asepharyana